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author | Christoph Helma <helma@in-silico.ch> | 2016-11-10 12:24:08 +0100 |
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committer | Christoph Helma <helma@in-silico.ch> | 2016-11-10 12:24:08 +0100 |
commit | 85ef2c4982f72c811d5e9fa4ce22e238c512fe6e (patch) | |
tree | 04234e83f2d702f368cd409adddd01a247d7a1c7 /lib | |
parent | 9e7b36613e98601de7b2ceb2d4442e11f1ae868a (diff) | |
parent | 347ef2891876af871e101f9a9efc643e5f28da4c (diff) |
Merge branch 'development' of github.com:opentox/lazar into development
Diffstat (limited to 'lib')
-rw-r--r-- | lib/model.rb | 22 |
1 files changed, 22 insertions, 0 deletions
diff --git a/lib/model.rb b/lib/model.rb index 6a5e614..549cbd2 100644 --- a/lib/model.rb +++ b/lib/model.rb @@ -421,6 +421,28 @@ module OpenTox prediction_model end + def self.create dir: dir, algorithms: algorithms + training_dataset = Dataset.where(:name => "Protein Corona Fingerprinting Predicts the Cellular Interaction of Gold and Silver Nanoparticles").first + unless training_dataset + Import::Enanomapper.import dir + training_dataset = Dataset.where(name: "Protein Corona Fingerprinting Predicts the Cellular Interaction of Gold and Silver Nanoparticles").first + end + prediction_model = self.new( + :endpoint => "log2(Net cell association)", + :source => "https://data.enanomapper.net/", + :species => "A549 human lung epithelial carcinoma cells", + :unit => "log2(ug/Mg)" + ) + prediction_feature = Feature.where(name: "log2(Net cell association)", category: "TOX").first + model = Model::LazarRegression.create(prediction_feature: prediction_feature, training_dataset: training_dataset, algorithms: algorithms) + prediction_model[:model_id] = model.id + repeated_cv = Validation::RepeatedCrossValidation.create model + prediction_model[:repeated_crossvalidation_id] = Validation::RepeatedCrossValidation.create(model).id + #prediction_model[:leave_one_out_validation_id] = Validation::LeaveOneOut.create(model).id + prediction_model.save + prediction_model + end + end end |